Uncertainty in Pressure Transient Analysis | Ali Azi | CrowdField O&G Expert Series - Webinar #6

Uncertainty in well test interpretation has long been handled with broad rule-of-thumb error margins. This webinar introduces a rigorous methodology, originally formalized in a 2008 paper by Azi et al., that replaces those assumptions with case-specific confidence intervals.

You’ll learn how the method integrates well test models, static data, and Monte Carlo simulation to provide confidence intervals for key parameters such as k, kh, C, S, and ri. The session also demonstrates MonteCarloFlow, the Welltest Nordisk implementation of this methodology, with opportunities for demo trials.

Key takeaways:

Methodology for assessing confidence intervals in PTA results
Application of Monte Carlo simulation in well test analysis
Improved reliability of productivity forecasts and recovery factor estimates
Demonstration of MonteCarloFlow in practice

Presented by Ali Azi, Sr Reservoir Engineer at Welltest Nordisk, and hosted by Alan Mourgues, Founder of CrowdField.

📩 For demo requests or more information, contact Ali Azi on LinkedIn:
  / ali-azi-4651417  

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